Implementation of Point Symmetry-based Automatic Clustering
Approach Using Differential Evolution

Using bug fixed KD tree nearest neighbor search from https://github.com/CristianDallos/kmeansclustering. (It is also modified to search for multiple nearest points instead only for one.)

Used those academic works for algorithm implementation:

http://cs.cug.edu.cn/teacherweb/gwy/Publication/ISICA-09.pdf

http://www.isical.ac.in/~sanghami/ieeetkde_cameraready.pdf

http://www.softcomputing.net/smca-paper1.pdf

1. You may download code:
git clone git://git.code.sf.net/p/pointsymmetryclustering/code pointsymmetryclustering-code
2. Build:
mvn clean install assembly:assembly -DskipTests -Dmaven.test.skip=true -DdownloadSources=true -Dcheckstyle.skip=true
3. Run:
java -jar target/point-symmetry-clustering-1.0-fat.jar

Project Activity

See All Activity >

License

Creative Commons Attribution License

Follow Point Symmetry Clustering

Point Symmetry Clustering Web Site

Other Useful Business Software
AI-powered service management for IT and enterprise teams Icon
AI-powered service management for IT and enterprise teams

Enterprise-grade ITSM, for every business

Give your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
Try it Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of Point Symmetry Clustering!

Additional Project Details

Intended Audience

Education

Programming Language

Java

Related Categories

Java Genetic Algorithms

Registered

2014-04-05